gifford-lab / CpGenieLinks
☆12Updated 6 years ago
Alternatives and similar repositories for CpGenie
Users that are interested in CpGenie are comparing it to the libraries listed below
Sorting:
- A deep learning package for predicting TF binding☆42Updated 5 years ago
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 4 years ago
- Chromatin Accessibility Prediction via Convolutional Long Short-Term Memory Networks with k-mer Embedding☆14Updated 6 years ago
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…☆26Updated 8 years ago
- Amino acid embedding and Convolutional Neural Network for HLA Class I-peptide binding prediction☆26Updated 8 years ago
- Concise: Keras extension for regulatory genomics☆35Updated 2 years ago
- "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy☆33Updated 5 years ago
- Understanding sequence conservation with deep learning☆20Updated 8 years ago
- Predict the boundary of transcript start and end from RNA-seq reads alignment☆11Updated 8 years ago
- Deep learning for identifying cis-regulatory elements and other applications☆34Updated 8 years ago
- Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications☆46Updated 6 years ago
- DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding☆13Updated 6 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 6 years ago
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆25Updated 6 years ago
- 🧛 Deep generative models for TCR sequences 🧛☆17Updated 3 years ago
- Python module for the easy handling and analysis of DNase-seq data☆37Updated 6 years ago
- ☆13Updated 6 years ago
- ☆20Updated 10 years ago
- A python package for pathway visualization☆38Updated 4 years ago
- "Global Importance Analysis: A Method to Quantify Importance of Genomic Features in Deep Neural Networks" by Koo et al.☆13Updated 3 years ago
- ☆38Updated last year
- GraphProt: modelling binding preferences of RNA-binding proteins☆20Updated 7 years ago
- PePPer - Personalized Perturbation Profiler☆11Updated 6 years ago
- Perform hyper-parameter tuning, training, testing and prediction with Keras☆44Updated 7 years ago
- Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications☆63Updated 4 years ago
- MHC Class I and Class II neoantigen binding prediction☆32Updated last month
- Repository for the code for DeepATAC project presented at WCB workshop in ICML2017☆22Updated 8 years ago
- PEDLA: predicting enhancers with deep learning-based algorithmic framework☆16Updated 9 years ago
- An Improved Algorithm to Measure the Semantic Similarity of Gene Ontology Terms☆18Updated 5 years ago
- ☆107Updated 7 years ago